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An experiment on accuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: dataset appendix

AutorMartín-Rodilla, Patricia ; Panach, José Ignacio; González-Pérez, César ; Pastor, Óscar
Palabras claveData analysis
Data analysis performance
Digital humanitites
Mixed lineal model
Empirical study
Cognitive processes
Software engineering
Fecha de publicación25-oct-2016
CitaciónAn experiment on accuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: dataset appendix [Dataset], 2016
ResumenThis dataset contains information regarding a performance experiment carried out in order to assess the data analysis process perform by digital humanitites scholars in research contexts. The datasets contains raw data obtained during the experiment, as well as the statistical analysis of the results using a repeated measures experimental design in a mixed lineal model.
DescripciónData analysis represents the most important group of tasks carried out in research contexts. Due to the current lack of empirical studies about data analysis performance in digital humanities research contexts, we conducted an empirical experiment comparing data analysis performance employed traditional software versus data analysis performance employed software-assistance tools which incorporate cognitive processes in their design. The experiment is designed in terms of accuracy, efficiency, productivity and user satisfaction during the data analysis made by researchers in digital humanities. It allowed us to find some clear benefits of the cognitive inclusion in the software designed for research contexts, with statistically significant differences in terms of accuracy, productivity and researcher’s satisfaction in support of this explicit inclusion, although some efficiency weaknesses are detected. This dataset presents the raw data obtained during the first round of our experiment, with a total of 16 subjects and 32 responses randomly collected as sample. The dataset also contains the results of the statistical analysis performed using a repeated measures experimental design in a mixed lineal model.
URIhttp://hdl.handle.net/10261/139309
DOIhttp://dx.doi.org/10.20350/digitalCSIC/7388
ReferenciasMartín-Rodilla, Patricia; Panach, José Ignacio; González-Pérez, César ; Pastor, Óscar. Accuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: Experiment design. http://hdl.handle.net/10261/139307
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